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Certificate (Data Science)

[Side Project After Work] Big Data Analysis Certification Practical Exam (Type 1, 2, 3)

We guide non-majors and beginners to quickly obtain the Big Data Analysis Certification (Practical Exam)! Keep the theory light and the practice solid—focusing on core points that are guaranteed to appear on the exam through past questions, without the need for complex background knowledge.

(4.9) 893 reviews

5,685 learners

Level Beginner

Course period 12 months

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Engineer Big Data Analysis
Engineer Big Data Analysis
Big Data
Big Data
Python
Python
Pandas
Pandas
Machine Learning(ML)
Machine Learning(ML)
Engineer Big Data Analysis
Engineer Big Data Analysis
Big Data
Big Data
Python
Python
Pandas
Pandas
Machine Learning(ML)
Machine Learning(ML)
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Type 2 Task Derived Variables

Have you solved all the problems?
If so, try your hand at creating derived variables from date data in Task Type 2 (Question 3)!

If you haven't reached that point yet, I recommend organizing what you've studied so far step-by-step rather than rushing to learn new material.

https://code.sideonai.com/


image.png
Date derived variables (day of the week/month/weekend) — apply identically to both train and test!
  train['date'] = pd.to_datetime(train['date'])
  train['dayofweek'] = train['date'].dt.dayofweek          # Day of week (Mon=0~Sun=6)
  train['month'] = train['date'].dt.month                  # Month (1~12)
  train['is_weekend'] = (train['date'].dt.dayofweek >= 5).astype(int)

  test['date'] = pd.to_datetime(test['date'])
  test['dayofweek'] = test['date'].dt.dayofweek
  test['month'] = test['date'].dt.month
  test['is_weekend'] = (test['date'].dt.dayofweek >= 5).astype(int)

Keep it up!


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